Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography

The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. It also provides high reliability for detecting pulmonary nodules and classifying the lesions, thus minimizing intra-observer differences and improving the clinical outcome. In perspective, the advancements may include increasing the size of the annotated data-set and fine-tuning the model due to detection issues of non-solitary nodules.

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2025-07-12
DOI
https://doi.org/10.1186/s12890-025-03806-7
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
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article

Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography

Mohsin Ali, Jianwei Liu, Ru Jia
1 links
BMC Pulmonary Medicine
Lung Cancer Diagnosis and Treatment
article

Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography

Mohsin Ali, Jianwei Liu, Ru Jia
article en

Abstract

The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. It also provides high reliability for detecting pulmonary nodules and classifying the lesions, thus minimizing intra-observer differences and improving the clinical outcome. In perspective, the advancements may include increasing the size of the annotated data-set and fine-tuning the model due to detection issues of non-solitary nodules.

BMC Pulmonary MedicineVol. 25(1)
Inner Mongolia University for Nationalities (CN), Tongliao Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 73%
Lung Cancer Diagnosis and Treatment
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography — Mohsin Ali, Jianwei Liu, et al. · BMC Pulmonary Medicine (2025) | TGRS Research Map | TGRS